Job Title

Looking for a Freelance AI/ML Engineer to join a team of rockstar developers. The candidate should have a minimum of 4+ yrs. of experience.This role is ideal for professionals currently working in a 100% REMOTE setup and looking to take up a long-term freelance or part-time engagement alongside their primary role with competitive compensation and meaningful additional income.Company BackgroundWe are a product engineering firm partnering with top-tier global organizations across consulting, fintech, retail, and consumer tech. Our 750+ strong engineering team delivers high-impact solutions across Product and Data Engineering, with deep expertise in Agentic AI, GenAI, RPA, and Full-stack development.Key Responsibilities:Design, develop, and deploy machine learning and deep learning models using PythonBuild and fine-tune models using TensorFlow and/or PyTorchWork extensively with LLMs, transformer architectures, and NLP pipelinesImplement Retrieval-Augmented Generation (RAG) systems using embeddings and vector databasesDevelop and optimize text embeddings for search, recommendation, and semantic understanding use casesIntegrate ML models with cloud ML services (AWS, Azure, or GCP)Collaborate with product, backend, and data teams to productionize AI solutionsDesign and implement Model Context Protocol (MCP) servers and clients to expose tools, APIs, and data sources to AI models.Define context schemas, capabilities, and permissions aligned with MCP specifications.Establish best practices for context versioning, extensibility, and backward compatibility.Required Skills:Strong programming experience in PythonHands-on experience with TensorFlow and/or PyTorchSolid understanding of LLMs, transformers, and attention mechanismsPractical experience with NLP techniques such as tokenization, NER, text classification, summarization, and sentiment analysisExperience working with embeddings and vector searchHands-on implementation of RAG architecturesExperience with cloud ML services (AWS SageMaker, Azure ML, or GCP Vertex AI)Familiarity with REST APIs and model deployment pipelinesEngagement DetailsCommitment: ~35 hours per week with predictable workload and clear deliverablesWork Model: 100% remote engagement from our sideCompensation: Monthly payouts with a transparent pay cycleTenure: Long-term engagement for high performers; continuity and stability assuredEligibility: Open only to professionals currently working in a full-time remote role (validated during screening)Growth: Opportunity to work on complex, high-impact products alongside senior engineering leadership